Python for Genomics

Introduces Python fundamentals for genomic data analysis and simple bioinformatics applications.

Overview

Introduce Python programming fundamentals, develop problem-solving skills, enable genomic data representation and analysis, implement Python functions for bioinformatics tasks, and prepare learners to build simple genomics applications using Python.

START DATE

Jul 01 2026

END DATE

Nov 30 2026

Delivery Mode

Online

Duration

3 Hours

Type

Theory

Course Fee

Free

Credentials and Certification

Course Category Micro-Credential (Basic)

TARGET AUDIENCE CHRIST University students

COURSE DELIVERY

Action-based learning materials with guided assessments and faculty support.

Digital Credential

indicating verified micro-credential completion.

RECOMMENDED FOR

AUDIENCE 01

Students exploring cloud computing

AUDIENCE 02

Professionals planning cloud projects

AUDIENCE 03

Faculty building digital deployment literacy

COURSE DELIVERY

Action-based learning materials with guided assessments and faculty support.

Course Outcomes

Our curriculum matches modern standard practices to provide exceptional training milestones.

Python Programming Fundamentals

Understand the core concepts of Python programming, including syntax, variables, functions, and control structures for genomic data analysis.

CORE KNOWLEDGE

Genomic Data Processing

Develop Python scripts to process genomic sequences efficiently while performing essential bioinformatics data manipulation and analysis tasks.

PRACTICAL LEARNING

Data Structures and Functions

Apply appropriate Python data structures and reusable functions to organize, process, and analyze biological datasets effectively and accurately.

PROGRAMMING SKILLS

Sequence Analysis Techniques

Perform sequence analysis using Python to identify patterns, compare genomic data, and solve fundamental bioinformatics research problems.

BIOINFORMATICS

Computational Problem Solving

Develop logical programming solutions for genomic challenges by applying algorithmic thinking and efficient coding practices in Python.

ANALYTICAL THINKING

Applied Bioinformatics with Python

Build practical bioinformatics applications by integrating Python programming techniques with genomic analysis for real-world scientific research.

INDUSTRY READINESS

ELIGIBILITY CRITERIA

UG/PG students, Research scholars, Life science professionals and beginners interested in learning Python

Faculty In Charge

Expert guidance from acclaimed industry professional leaders.

Dr Vijay Aputharaj

Assistant Professor

Dr. Vijay Arputharaj J is an Associate Professor with over 15 years of teaching and research experience. His expertise includes Python, genomics, bioinformatics, AI, and digital learning. He has published 20+ research papers, authored book chapters, and developed innovative micro-credential courses

Program Overview

Academic Curriculum

A meticulous, guided learning path engineered to transform your cloud engineering expertise.

Module 01

Introduction to Python

Module 02

Python Fundamentals

Module 03

Genomic Data Representation

Module 04

Python for Genomics

Overview

Credentials and Certification

COURSE DELIVERY

Digital Credential

Students exploring cloud computing

Professionals planning cloud projects

Faculty building digital deployment literacy

Course Menu

COURSE DELIVERY

Course Outcomes

Python Programming Fundamentals

Genomic Data Processing

Data Structures and Functions

Sequence Analysis Techniques

Computational Problem Solving

Applied Bioinformatics with Python

ELIGIBILITY CRITERIA

Faculty In Charge

Dr Vijay Aputharaj

Assistant Professor

Academic Curriculum

Introduction to Python

Python Fundamentals

Genomic Data Representation

Functions in Python

Build skills that matter in the real world